Overview

Dataset statistics

Number of variables6
Number of observations266
Missing cells3
Missing cells (%)0.2%
Duplicate rows2
Duplicate rows (%)0.8%
Total size in memory12.6 KiB
Average record size in memory48.5 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description대구광역시 서구_행정처분업소 현황_20210903
Author대구광역시 서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3054454&dataSetDetailId=30544541e76a044aac04&provdMethod=FILE

Alerts

Dataset has 2 (0.8%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-10 19:24:10.627958
Analysis finished2023-12-10 19:24:12.335164
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct16
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
일반음식점
95 
대기배출업소관리
59 
폐수배출업소관리
21 
일반게임제공업
19 
노래연습장업
16 
Other values (11)
56 

Length

Max length13
Median length11
Mean length6.7293233
Min length4

Unique

Unique3 ?
Unique (%)1.1%

Sample

1st row폐수배출업소관리
2nd row비산먼지발생사업장관리
3rd row식품제조가공업
4th row일반음식점
5th row일반음식점

Common Values

ValueCountFrequency (%)
일반음식점 95
35.7%
대기배출업소관리 59
22.2%
폐수배출업소관리 21
 
7.9%
일반게임제공업 19
 
7.1%
노래연습장업 16
 
6.0%
청소년게임제공업 14
 
5.3%
식품자동판매기영업 9
 
3.4%
휴게음식점 8
 
3.0%
유흥주점영업 7
 
2.6%
인터넷컴퓨터게임시설제공업 6
 
2.3%
Other values (6) 12
 
4.5%

Length

2023-12-11T04:24:12.440022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 95
35.7%
대기배출업소관리 59
22.2%
폐수배출업소관리 21
 
7.9%
일반게임제공업 19
 
7.1%
노래연습장업 16
 
6.0%
청소년게임제공업 14
 
5.3%
식품자동판매기영업 9
 
3.4%
휴게음식점 8
 
3.0%
유흥주점영업 7
 
2.6%
인터넷컴퓨터게임시설제공업 6
 
2.3%
Other values (6) 12
 
4.5%

업소명
Text

Distinct245
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T04:24:12.737833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length5.7932331
Min length1

Characters and Unicode

Total characters1541
Distinct characters348
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique226 ?
Unique (%)85.0%

Sample

1st row국일공해측정(주)
2nd row화성산업(주)
3rd row주)투머치
4th row장미구이
5th row늘푸른무침회식당
ValueCountFrequency (%)
주)은일니트 3
 
1.0%
주)일진바이오 3
 
1.0%
한진섬유 2
 
0.7%
성인오락실 2
 
0.7%
pc방 2
 
0.7%
노래연습장 2
 
0.7%
수연노래연습장 2
 
0.7%
성원써키트 2
 
0.7%
경동실업 2
 
0.7%
주)앤디아이 2
 
0.7%
Other values (259) 274
92.6%
2023-12-11T04:24:13.268260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 52
 
3.4%
) 51
 
3.3%
( 50
 
3.2%
이 35
 
2.3%
30
 
1.9%
장 29
 
1.9%
성 28
 
1.8%
식 21
 
1.4%
동 20
 
1.3%
연 20
 
1.3%
Other values (338) 1205
78.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1373
89.1%
Close Punctuation 51
 
3.3%
Open Punctuation 50
 
3.2%
Space Separator 30
 
1.9%
Uppercase Letter 26
 
1.7%
Other Punctuation 4
 
0.3%
Decimal Number 4
 
0.3%
Lowercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 52
 
3.8%
이 35
 
2.5%
장 29
 
2.1%
성 28
 
2.0%
식 21
 
1.5%
동 20
 
1.5%
연 20
 
1.5%
리 19
 
1.4%
일 19
 
1.4%
임 19
 
1.4%
Other values (316) 1111
80.9%
Uppercase Letter
ValueCountFrequency (%)
C 5
19.2%
P 5
19.2%
U 3
11.5%
N 2
 
7.7%
K 2
 
7.7%
H 2
 
7.7%
A 2
 
7.7%
G 2
 
7.7%
O 2
 
7.7%
Q 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
0 1
25.0%
6 1
25.0%
1 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
! 1
25.0%
, 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
66.7%
r 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1372
89.0%
Common 139
 
9.0%
Latin 29
 
1.9%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 52
 
3.8%
이 35
 
2.6%
장 29
 
2.1%
성 28
 
2.0%
식 21
 
1.5%
동 20
 
1.5%
연 20
 
1.5%
리 19
 
1.4%
일 19
 
1.4%
임 19
 
1.4%
Other values (315) 1110
80.9%
Latin
ValueCountFrequency (%)
C 5
17.2%
P 5
17.2%
U 3
10.3%
N 2
 
6.9%
K 2
 
6.9%
a 2
 
6.9%
H 2
 
6.9%
A 2
 
6.9%
G 2
 
6.9%
O 2
 
6.9%
Other values (2) 2
 
6.9%
Common
ValueCountFrequency (%)
) 51
36.7%
( 50
36.0%
30
21.6%
& 2
 
1.4%
2 1
 
0.7%
0 1
 
0.7%
6 1
 
0.7%
! 1
 
0.7%
, 1
 
0.7%
1 1
 
0.7%
Han
ValueCountFrequency (%)
魚 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1372
89.0%
ASCII 168
 
10.9%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 52
 
3.8%
이 35
 
2.6%
장 29
 
2.1%
성 28
 
2.0%
식 21
 
1.5%
동 20
 
1.5%
연 20
 
1.5%
리 19
 
1.4%
일 19
 
1.4%
임 19
 
1.4%
Other values (315) 1110
80.9%
ASCII
ValueCountFrequency (%)
) 51
30.4%
( 50
29.8%
30
17.9%
C 5
 
3.0%
P 5
 
3.0%
U 3
 
1.8%
N 2
 
1.2%
K 2
 
1.2%
a 2
 
1.2%
H 2
 
1.2%
Other values (12) 16
 
9.5%
CJK
ValueCountFrequency (%)
魚 1
100.0%

처분내용
Text

Distinct62
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T04:24:13.618207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length6.5639098
Min length2

Characters and Unicode

Total characters1746
Distinct characters68
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)15.8%

Sample

1st row경고
2nd row개선명령
3rd row품목제조정지1개월7일 갈음 과징금 444만원
4th row영업시설물 전부철거
5th row영업정지1개월 갈음 과징금690만원
ValueCountFrequency (%)
직권말소 67
19.3%
경고 63
18.2%
영업정지 25
 
7.2%
영업소폐쇄 23
 
6.6%
갈음 14
 
4.0%
개선명령 14
 
4.0%
과징금 12
 
3.5%
1개월 10
 
2.9%
영업정지10일 9
 
2.6%
영업허가취소 6
 
1.7%
Other values (69) 104
30.0%
2023-12-11T04:24:14.109957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 119
 
6.8%
업 99
 
5.7%
영 93
 
5.3%
0 89
 
5.1%
81
 
4.6%
1 75
 
4.3%
직 73
 
4.2%
권 73
 
4.2%
말 73
 
4.2%
고 65
 
3.7%
Other values (58) 906
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1252
71.7%
Decimal Number 307
 
17.6%
Space Separator 81
 
4.6%
Other Punctuation 46
 
2.6%
Close Punctuation 30
 
1.7%
Open Punctuation 30
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 119
 
9.5%
업 99
 
7.9%
영 93
 
7.4%
직 73
 
5.8%
권 73
 
5.8%
말 73
 
5.8%
고 65
 
5.2%
지 64
 
5.1%
경 63
 
5.0%
정 62
 
5.0%
Other values (43) 468
37.4%
Decimal Number
ValueCountFrequency (%)
0 89
29.0%
1 75
24.4%
2 52
16.9%
5 20
 
6.5%
4 17
 
5.5%
9 16
 
5.2%
3 10
 
3.3%
8 10
 
3.3%
6 9
 
2.9%
7 9
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 45
97.8%
, 1
 
2.2%
Space Separator
ValueCountFrequency (%)
81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1252
71.7%
Common 494
 
28.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 119
 
9.5%
업 99
 
7.9%
영 93
 
7.4%
직 73
 
5.8%
권 73
 
5.8%
말 73
 
5.8%
고 65
 
5.2%
지 64
 
5.1%
경 63
 
5.0%
정 62
 
5.0%
Other values (43) 468
37.4%
Common
ValueCountFrequency (%)
0 89
18.0%
81
16.4%
1 75
15.2%
2 52
10.5%
. 45
9.1%
) 30
 
6.1%
( 30
 
6.1%
5 20
 
4.0%
4 17
 
3.4%
9 16
 
3.2%
Other values (5) 39
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1250
71.6%
ASCII 494
 
28.3%
Compat Jamo 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 119
 
9.5%
업 99
 
7.9%
영 93
 
7.4%
직 73
 
5.8%
권 73
 
5.8%
말 73
 
5.8%
고 65
 
5.2%
지 64
 
5.1%
경 63
 
5.0%
정 62
 
5.0%
Other values (42) 466
37.3%
ASCII
ValueCountFrequency (%)
0 89
18.0%
81
16.4%
1 75
15.2%
2 52
10.5%
. 45
9.1%
) 30
 
6.1%
( 30
 
6.1%
5 20
 
4.0%
4 17
 
3.4%
9 16
 
3.2%
Other values (5) 39
7.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

도로명주소
Text

Distinct247
Distinct (%)93.6%
Missing2
Missing (%)0.8%
Memory size2.2 KiB
2023-12-11T04:24:14.445913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length25.931818
Min length21

Characters and Unicode

Total characters6846
Distinct characters98
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique232 ?
Unique (%)87.9%

Sample

1st row 대구광역시 서구 북비산로17길 9-7 (이현동)
2nd row 대구광역시 수성구 동대구로 111, 황금빌딩 (황금동)
3rd row 대구광역시 서구 국채보상로19길 21, 2층 (이현동)
4th row 대구광역시 서구 통학로 83 (평리동)
5th row 대구광역시 서구 달구벌대로375길 11-2 (내당동)
ValueCountFrequency (%)
대구광역시 263
18.9%
서구 262
18.8%
평리동 85
 
6.1%
비산동 85
 
6.1%
이현동 33
 
2.4%
내당동 23
 
1.7%
달서로 21
 
1.5%
서대구로 21
 
1.5%
중리동 16
 
1.1%
1층 15
 
1.1%
Other values (308) 569
40.8%
2023-12-11T04:24:14.971675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1215
17.7%
구 570
 
8.3%
서 344
 
5.0%
대 325
 
4.7%
동 272
 
4.0%
) 266
 
3.9%
( 266
 
3.9%
시 265
 
3.9%
로 265
 
3.9%
광 263
 
3.8%
Other values (88) 2795
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3948
57.7%
Space Separator 1215
 
17.7%
Decimal Number 1031
 
15.1%
Close Punctuation 266
 
3.9%
Open Punctuation 266
 
3.9%
Other Punctuation 66
 
1.0%
Dash Punctuation 53
 
0.8%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 570
14.4%
서 344
 
8.7%
대 325
 
8.2%
동 272
 
6.9%
시 265
 
6.7%
로 265
 
6.7%
광 263
 
6.7%
역 263
 
6.7%
길 137
 
3.5%
리 119
 
3.0%
Other values (72) 1125
28.5%
Decimal Number
ValueCountFrequency (%)
1 236
22.9%
2 161
15.6%
3 129
12.5%
4 93
 
9.0%
6 86
 
8.3%
5 73
 
7.1%
7 71
 
6.9%
9 67
 
6.5%
8 62
 
6.0%
0 53
 
5.1%
Space Separator
ValueCountFrequency (%)
1215
100.0%
Close Punctuation
ValueCountFrequency (%)
) 266
100.0%
Open Punctuation
ValueCountFrequency (%)
( 266
100.0%
Other Punctuation
ValueCountFrequency (%)
, 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3948
57.7%
Common 2897
42.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 570
14.4%
서 344
 
8.7%
대 325
 
8.2%
동 272
 
6.9%
시 265
 
6.7%
로 265
 
6.7%
광 263
 
6.7%
역 263
 
6.7%
길 137
 
3.5%
리 119
 
3.0%
Other values (72) 1125
28.5%
Common
ValueCountFrequency (%)
1215
41.9%
) 266
 
9.2%
( 266
 
9.2%
1 236
 
8.1%
2 161
 
5.6%
3 129
 
4.5%
4 93
 
3.2%
6 86
 
3.0%
5 73
 
2.5%
7 71
 
2.5%
Other values (5) 301
 
10.4%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3948
57.7%
ASCII 2898
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1215
41.9%
) 266
 
9.2%
( 266
 
9.2%
1 236
 
8.1%
2 161
 
5.6%
3 129
 
4.5%
4 93
 
3.2%
6 86
 
3.0%
5 73
 
2.5%
7 71
 
2.4%
Other values (6) 302
 
10.4%
Hangul
ValueCountFrequency (%)
구 570
14.4%
서 344
 
8.7%
대 325
 
8.2%
동 272
 
6.9%
시 265
 
6.7%
로 265
 
6.7%
광 263
 
6.7%
역 263
 
6.7%
길 137
 
3.5%
리 119
 
3.0%
Other values (72) 1125
28.5%

지번주소
Text

Distinct252
Distinct (%)95.1%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-11T04:24:15.519665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length20.841509
Min length16

Characters and Unicode

Total characters5523
Distinct characters70
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique240 ?
Unique (%)90.6%

Sample

1st row 대구광역시 서구 이현동 42-373
2nd row 대구광역시 서구 평리동 1485-16
3rd row 대구광역시 서구 평리동 1368-6 3층
4th row 대구광역시 서구 내당동 1005-20
5th row 대구광역시 서구 내당동 418-13
ValueCountFrequency (%)
대구광역시 264
23.4%
서구 263
23.3%
비산동 87
 
7.7%
평리동 85
 
7.5%
이현동 32
 
2.8%
내당동 25
 
2.2%
중리동 17
 
1.5%
1층 14
 
1.2%
2층 14
 
1.2%
원대동3가 11
 
1.0%
Other values (272) 318
28.1%
2023-12-11T04:24:16.231572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1122
20.3%
구 528
 
9.6%
1 298
 
5.4%
대 281
 
5.1%
동 270
 
4.9%
시 266
 
4.8%
광 264
 
4.8%
역 264
 
4.8%
서 263
 
4.8%
- 239
 
4.3%
Other values (60) 1728
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2784
50.4%
Decimal Number 1367
24.8%
Space Separator 1122
20.3%
Dash Punctuation 239
 
4.3%
Other Punctuation 8
 
0.1%
Uppercase Letter 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 528
19.0%
대 281
10.1%
동 270
9.7%
시 266
9.6%
광 264
9.5%
역 264
9.5%
서 263
9.4%
리 103
 
3.7%
비 88
 
3.2%
산 87
 
3.1%
Other values (44) 370
13.3%
Decimal Number
ValueCountFrequency (%)
1 298
21.8%
2 213
15.6%
4 142
10.4%
3 141
10.3%
0 123
9.0%
6 118
 
8.6%
8 97
 
7.1%
5 89
 
6.5%
9 74
 
5.4%
7 72
 
5.3%
Space Separator
ValueCountFrequency (%)
1122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 239
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2784
50.4%
Common 2738
49.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 528
19.0%
대 281
10.1%
동 270
9.7%
시 266
9.6%
광 264
9.5%
역 264
9.5%
서 263
9.4%
리 103
 
3.7%
비 88
 
3.2%
산 87
 
3.1%
Other values (44) 370
13.3%
Common
ValueCountFrequency (%)
1122
41.0%
1 298
 
10.9%
- 239
 
8.7%
2 213
 
7.8%
4 142
 
5.2%
3 141
 
5.1%
0 123
 
4.5%
6 118
 
4.3%
8 97
 
3.5%
5 89
 
3.3%
Other values (5) 156
 
5.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2784
50.4%
ASCII 2739
49.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1122
41.0%
1 298
 
10.9%
- 239
 
8.7%
2 213
 
7.8%
4 142
 
5.2%
3 141
 
5.1%
0 123
 
4.5%
6 118
 
4.3%
8 97
 
3.5%
5 89
 
3.2%
Other values (6) 157
 
5.7%
Hangul
ValueCountFrequency (%)
구 528
19.0%
대 281
10.1%
동 270
9.7%
시 266
9.6%
광 264
9.5%
역 264
9.5%
서 263
9.4%
리 103
 
3.7%
비 88
 
3.2%
산 87
 
3.1%
Other values (44) 370
13.3%

처분확정일자
Date

Distinct162
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2019-06-20 00:00:00
Maximum2021-08-20 00:00:00
2023-12-11T04:24:16.443004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:24:16.652746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-11T04:24:16.811490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명처분내용
업종명1.0000.958
처분내용0.9581.000

Missing values

2023-12-11T04:24:12.038127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T04:24:12.156769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-11T04:24:12.274503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업종명업소명처분내용도로명주소지번주소처분확정일자
0폐수배출업소관리국일공해측정(주)경고대구광역시 서구 북비산로17길 9-7 (이현동)대구광역시 서구 이현동 42-3732021-08-20
1비산먼지발생사업장관리화성산업(주)개선명령대구광역시 수성구 동대구로 111, 황금빌딩 (황금동)대구광역시 서구 평리동 1485-162021-08-20
2식품제조가공업주)투머치품목제조정지1개월7일 갈음 과징금 444만원대구광역시 서구 국채보상로19길 21, 2층 (이현동)대구광역시 서구 평리동 1368-6 3층2021-08-13
3일반음식점장미구이영업시설물 전부철거대구광역시 서구 통학로 83 (평리동)대구광역시 서구 내당동 1005-202021-08-12
4일반음식점늘푸른무침회식당영업정지1개월 갈음 과징금690만원대구광역시 서구 달구벌대로375길 11-2 (내당동)대구광역시 서구 내당동 418-132021-08-03
5일반음식점달포차영업소폐쇄대구광역시 서구 북비산로 335-4 (비산동)대구광역시 서구 평리동 1368-62021-07-27
6폐수배출업소관리대동실업경고대구광역시 서구 염색공단중앙로 77 (비산동)대구광역시 서구 평리동 856-32021-07-26
7인터넷컴퓨터게임시설제공업마카오PC영업정지 45일대구광역시 서구 서대구로62길 25, 1층 (비산동)대구광역시 서구 원대동3가 1380-52021-07-19
8대기배출업소관리태성도금경고대구광역시 서구 염색공단천로12길 12 (비산동)대구광역시 서구 내당동 868-32021-07-12
9인터넷컴퓨터게임시설제공업티피씨영업정지 10일대구광역시 서구 서대구로 74 (평리동)대구광역시 서구 중리동 1157-72021-07-08
업종명업소명처분내용도로명주소지번주소처분확정일자
256대기배출업소관리(주)명신염색가공경고대구광역시 서구 염색공단중앙로12길 32 (비산동)대구광역시 서구 비산동 2007-682019-08-08
257대기배출업소관리(주)부성고발대구광역시 서구 염색공단천로11길 30 (비산동)대구광역시 서구 비산동 2036-312019-08-08
258대기배출업소관리한우염공사경고대구광역시 서구 염색공단중앙로12길 22 (비산동)대구광역시 서구 비산동 2010-272019-08-08
259대기배출업소관리조일염공사고발대구광역시 서구 염색공단천로 45 (비산동)대구광역시 서구 비산동 2024-62019-08-01
260대기배출업소관리(주)삼보염공경고대구광역시 서구 염색공단중앙로12길 27 (비산동)대구광역시 서구 비산동 2010-262019-07-31
261대기배출업소관리(주)진영피앤티조업정지10일대구광역시 서구 염색공단천로 31 (비산동, 외 7필지)대구광역시 서구 비산동 2005-41 외7필지2019-07-29
262대기배출업소관리(주)앤디아이조업정지10일대구광역시 서구 염색공단중앙로22길 33 (비산동)대구광역시 서구 비산동 2006-462019-07-29
263대기배출업소관리(주)천일도금경고대구광역시 서구 국채보상로19길 17 (이현동)대구광역시 서구 이현동 44-162019-07-23
264대기배출업소관리킹모터스경고대구광역시 서구 와룡로 368 (중리동)대구광역시 서구 중리동 1058-42019-07-23
265대기배출업소관리도미니코염직경고대구광역시 서구 염색공단로21길 20 (비산동)대구광역시 서구 비산동 3194-42019-06-20

Duplicate rows

Most frequently occurring

업종명업소명처분내용도로명주소지번주소처분확정일자# duplicates
0대기배출업소관리(주)은일니트개선명령대구광역시 서구 달서천로 164 (평리동)대구광역시 서구 평리동 108-112020-07-102
1일반음식점예가 민속 주점영업소폐쇄대구광역시 서구 고성로 47-1 (원대동3가)대구광역시 서구 원대동3가 1417-412020-07-202